test(test_proxy_server_langfuse.py): add langfuse proxy testing

litellm/tests/test_configs/test_config.yaml

@@ -4,6 +4,8 @@ general_settings:
 litellm_settings:
   drop_params: true
   set_verbose: true
+  success_callback: ["langfuse"]
+  
 model_list:
 - litellm_params:
     api_base: https://my-endpoint-europe-berri-992.openai.azure.com/

litellm/tests/test_proxy_server_langfuse.py

@@ -0,0 +1,64 @@
+import sys, os
+import traceback
+from dotenv import load_dotenv
+
+load_dotenv()
+import os, io
+
+# this file is to test litellm/proxy
+
+sys.path.insert(
+    0, os.path.abspath("../..")
+)  # Adds the parent directory to the system path 
+import pytest, logging
+import litellm
+from litellm import embedding, completion, completion_cost, Timeout
+from litellm import RateLimitError
+# Configure logging
+logging.basicConfig(
+    level=logging.DEBUG,  # Set the desired logging level
+    format="%(asctime)s - %(levelname)s - %(message)s",
+)
+
+# test /chat/completion request to the proxy
+from fastapi.testclient import TestClient
+from fastapi import FastAPI
+from litellm.proxy.proxy_server import router, save_worker_config, startup_event  # Replace with the actual module where your FastAPI router is defined
+filepath = os.path.dirname(os.path.abspath(__file__))
+config_fp = f"{filepath}/test_configs/test_config.yaml"
+save_worker_config(config=config_fp, model=None, alias=None, api_base=None, api_version=None, debug=False, temperature=None, max_tokens=None, request_timeout=600, max_budget=None, telemetry=False, drop_params=True, add_function_to_prompt=False, headers=None, save=False, use_queue=False)
+app = FastAPI()
+app.include_router(router)  # Include your router in the test app
+@app.on_event("startup")
+async def wrapper_startup_event():
+    await startup_event()
+
+# Here you create a fixture that will be used by your tests
+# Make sure the fixture returns TestClient(app)
+@pytest.fixture(autouse=True)
+def client():
+    with TestClient(app) as client:
+        yield client
+
+def test_chat_completion(client):
+    try:
+        # Your test data
+        test_data = {
+            "model": "gpt-3.5-turbo",
+            "messages": [
+                {
+                    "role": "user",
+                    "content": "hi"
+                },
+            ],
+            "max_tokens": 10,
+        }
+        print("testing proxy server")
+        headers = {"Authorization": f"Bearer {os.getenv('PROXY_MASTER_KEY')}"}
+        response = client.post("/v1/chat/completions", json=test_data, headers=headers)
+        print(f"response - {response.text}")
+        assert response.status_code == 200
+        result = response.json()
+        print(f"Received response: {result}")
+    except Exception as e:
+        pytest.fail(f"LiteLLM Proxy test failed. Exception - {str(e)}")